Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/62720
Title: Robust identification of first-order plus dead-time model from step response
Authors: Bi, Q.
Cai, W.-J.
Lee, E.-L.
Wang, Q.-G. 
Hang, C.-C. 
Zhang, Y.
Keywords: First-order plus dead-time model
Instrumental variable method
Least-squares algorithm
Process identification
Step response
Issue Date: Jan-1999
Source: Bi, Q.,Cai, W.-J.,Lee, E.-L.,Wang, Q.-G.,Hang, C.-C.,Zhang, Y. (1999-01). Robust identification of first-order plus dead-time model from step response. Control Engineering Practice 7 (1) : 71-77. ScholarBank@NUS Repository.
Abstract: In this paper, a simple yet robust identification method for a linear monotonic process, derived from a step test, is proposed. New linear regression equations are derived, from which the parameters of a first-order plus dead-time model can be obtained directly. No iterations in calculation are needed. The proposed method outperforms the existing estimation methods that use step-test responses. The estimation error is smaller in both the time domain and the frequency domain. Furthermore, the method is robust in the presence of large amounts of measurement noise. The effectiveness of the identification method has been demonstrated through a number of simulation examples and a real-time test. © 1999 Elsevier Science Ltd. All rights reserved.
Source Title: Control Engineering Practice
URI: http://scholarbank.nus.edu.sg/handle/10635/62720
ISSN: 09670661
Appears in Collections:Staff Publications

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